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$ diff deepseek-v4-pro-0813 kimi-k3

DeepSeek V4-Pro-0813 vs Kimi K3

Values come from DeepSeek V4-Pro-0813 and Kimi K3, where each is cited to its source. This page states no benchmark result and ranks neither model — it puts two published specifications next to each other. Where a lab has not published a figure, the row says so rather than guessing.

What actually differs

Context window
DeepSeek V4-Pro-0813 takes 1.0M against 1M — modestly more room in a single request.
Input price
DeepSeek V4-Pro-0813 at $0.66/M against $3/M — 4.5× cheaper to feed. Standard rates: one of these labs also quotes a lower cached-input tier, which applies only when a prefix is reused — see the full spec below.
Output price
DeepSeek V4-Pro-0813 at $1.98/M against $15/M — 7.6× cheaper to generate. Output dominates the bill on most agentic workloads, where the model writes far more than it reads.
Weights
Both publish weights — DeepSeek V4-Pro-0813 under MIT (open-weight, as reported), Kimi K3 under Modified MIT (commercial use permitted; weights publicly downloadable). Check the licences rather than assuming they permit the same commercial use.
Recency
DeepSeek V4-Pro-0813 shipped 28 days after Kimi K3 (2026-08-13 vs 2026-07-16).

Full spec

AttributeDeepSeek V4-Pro-0813Kimi K3
DeveloperDeepSeekMoonshot AI
Released2026-08-132026-07-16
Context window1,048,576 (1M) — 384K max output1M tokens
Pricing$0.66/M input (cache miss) · $1.98/M output off-peak; $1.32 · $3.96 at peak — see Pricing$0.30/M cache-hit input · $3.00/M cache-miss input · $15.00/M output
LicenseMIT (open-weight, as reported)Modified MIT (commercial use permitted; weights publicly downloadable)
AvailabilityDeepSeek API (Responses format, Codex-adapted), Hugging Face (`deepseek-ai/DeepSeek-V4-Pro-0813`)Kimi Code, Kimi app, Kimi API; weights on Hugging Face (`moonshot-ai/kimi-k3`, released 2026-07-27)

How these pages are produced

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